{"id":"W4321472126","doi":"10.48550/arxiv.2302.09193","title":"Copula-based transferable models for synthetic population generation","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Copula (linguistics); Econometrics; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002612236,0.0009045803,0.0007174781,0.0007823954,0.000384037,0.0007007562,0.001751571,0.001067164,0.002969352],"category_scores_gemma":[0.01005718,0.000554384,0.000869442,0.0006101112,0.001006583,0.001337137,0.001471746,0.00220151,0.0004819455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274096,"about_ca_system_score_gemma":0.0008820019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006316842,"about_ca_topic_score_gemma":0.004674668,"domain_scores_codex":[0.9992101,0.0004208731,0.00003046613,0.0001636409,0.0001160454,0.00005880856],"domain_scores_gemma":[0.9946337,0.004094378,0.0003526344,0.0004067343,0.0004060502,0.000106491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001375998,0.00001596247,0.0003110929,0.00001455832,0.00001362039,0.0000169523,0.00002668905,0.9842772,0.0002060784,0.008990103,0.0003133708,0.005800593],"study_design_scores_gemma":[0.000002128085,0.000004794424,0.00003368434,0.000001987244,0.000001286918,0.00000314576,0.000002811994,0.9958977,0.0001143772,0.003803425,0.0001327138,0.000001995044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01889525,0.0001348322,0.9789116,0.0001757177,0.00002754881,0.00007215059,0.0001806541,0.0004098368,0.001192286],"genre_scores_gemma":[0.7610083,0.000290161,0.2339791,0.0002429858,0.00004486306,0.0005325814,0.0009472982,0.0002248823,0.002729842],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006316842,"threshold_uncertainty_score":0.01381499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2116702798076976,"score_gpt":0.2119197092452121,"score_spread":0.0002494294375144923,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}